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Microsimulating parcel-level land use and activity-based travel: Development of a prototype application in San Francisco

Author

Listed:
  • Waddell, Paul

    (University of California, Berkeley; United States)

  • Wang, Liming

    (University of California, Berkeley)

  • Charlton, Billy

    (San Francisco County Transportation Authority)

  • Olsen, Aksel

    (San Francisco Planning Department)

Abstract

This paper develops a prototype of an integrated microsimulation model system combining land use at a parcel level with activity-based travel in San Francisco, California. The paper describes the motivation for the model system, its design, data development, and preliminary application and testing. The land use model is implemented using UrbanSim and the Open Platform for Urban Simulation (OPUS), using parcels and buildings rather than zones or grid cells as spatial units of analysis. Measures of accessibility are derived from the San Francisco SF-CHAMP activity-based travel model, and the predicted locations of households and business establishments are used to update the micro-level inputs needed for the activity-based travel model. Data used in the model include business establishments linked to parcels over several years, and a panel of parcels that allow modeling of parcel development over time. This paper describes several advances that have not been previously integrated in an operational model system, including the use of parcels and buildings as units of location for consumers and developers of real estate, the use of business establishments to represent economic activity, and the interfacing of this microsimulation land use model with a microsimulation activity-based travel model. Computational performance and development effort were found to be modest, with land use model run times averaging one minute per year on a current desktop computer, and two to three minutes on a current laptop. By contrast, long run times of the travel model suggest that there may be a need to reconsider the level of complexity in the travel model for an integrated land use and transportation model system application to be broadly usable. The land use model is currently in refinement, being used to identify input data and model specification adjustments needed in order to bring it into operational use, which is planned over the next several months.

Suggested Citation

  • Waddell, Paul & Wang, Liming & Charlton, Billy & Olsen, Aksel, 2010. "Microsimulating parcel-level land use and activity-based travel: Development of a prototype application in San Francisco," The Journal of Transport and Land Use, Center for Transportation Studies, University of Minnesota, vol. 3(2), pages 65-84.
    • Handle: RePEc:ris:jtralu:0031
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    References listed on IDEAS

    as
    1. Ryuichi Kitamura & Cynthia Chen & Ram Pendyala & Ravi Narayanan, 2000. "Micro-simulation of daily activity-travel patterns for travel demand forecasting," Transportation, Springer, vol. 27(1), pages 25-51, February.
    2. David Levinson & Yuanlin Huang, 1997. "A Windowed Transportation Planning Model," Working Papers 199703, University of Minnesota: Nexus Research Group.
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    Cited by:

    1. Levinson, David M., 2013. "Introduction: The Journal of Transport and Land Use enters year six," The Journal of Transport and Land Use, Center for Transportation Studies, University of Minnesota, vol. 6(1), pages 1-5.
    2. Marko Kryvobokov & Aurélie Mercier & Alain Bonnafous & Dominique Bouf, 2013. "Simulating housing prices with UrbanSim: predictive capacity and sensitivity analysis," Letters in Spatial and Resource Sciences, Springer, vol. 6(1), pages 31-44, March.
    3. Ravulaparthy, Srinath & Goulias, Konstadinos G., 2011. "Forecasting with Dynamic Microsimulation: Design, Implementation, and Demonstration," University of California Transportation Center, Working Papers qt2x12q5pv, University of California Transportation Center.
    4. Nadafianshahamabadi, Razieh & Tayarani, Mohammad & Rowangould, Gregory, 2021. "A closer look at urban development under the emergence of autonomous vehicles: Traffic, land use and air quality impacts," Journal of Transport Geography, Elsevier, vol. 94(C).
    5. Levinson, David, 2011. "Introduction," The Journal of Transport and Land Use, Center for Transportation Studies, University of Minnesota, vol. 4(1), pages 1-3.

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    More about this item

    Keywords

    microsimulation; land use model; activity-based travel; integrated modeling; residential location choice; business location choice; real estate development; real estate prices; built environment; travel behavior;
    All these keywords.

    JEL classification:

    • R40 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Transportation Economics - - - General

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